Top 6 Challenges of API Testing

Testing teams face several unique challenges when testing application programming interface (API) implementations. API testing is part of the integration testing process and concerns the communication between two systems—one of which your staff likely has no control over.

Below you’ll find the following six common challenges when testing APIs and our recommended solutions.

Initial Setup of API Testing

Manual testing helps confirm whether something works. Automated testing is necessary with APIs to gauge how well they perform under pressure. Getting the testing infrastructure up and running is often one of the most challenging parts of the process, not because it is particularly difficult, but because it can be a substantial motivation-killer. Once you manage to motivate your team to get through the process, however, it pays off over the long-term.

Solution: API testing should start in the design phase—how is the API going to be tested? Ensure interval checking of your APIs for 100 percent uptime.

Updating the Schema of API Testing

The schema—in other words, the data formatting that handles requests and responses for the API—needs to be maintained throughout the testing process. Any updates to the program that create additional parameters for the API calls need to be reflected in the schema configuration.

Solution: In today’s API economy, having an ever-changing API helps facilitate the demand. However, there can be downtime caused by those changes. One way to avoid that is to thoroughly test the API in beta and alpha environments. The chances of issues decrease to 90 percent when testing in these environments.

Testing Parameter Combinations

APIs handle communication between systems by assigning data values to parameters and passing those parameters through data requests. It’s necessary to test all possible parameter request combinations in the API to test for problems pertaining to specific configurations. A larger project could end up assigning two different values to the same parameter, or create instances where numerical values appear when text values should be. Adding an additional parameter exponentially increases the number of possible combinations.

Solution: We’ve learned from our customers that having release candidates are important. For example, picking one or two applications to utilize the API on and release it to just those applications. Pick applications that aren’t critical to daily operations. This way you’re able to see how the API is being utilized and if there are any configurational changes that need to be made to have a general availability (GA) release.

Sequencing the API Calls

In many cases, API calls need to appear in a specific order to work correctly. This creates a sequencing challenge for the testing team. For example, if a call to return a user’s profile information goes through before the profile is created, the request will return an error. Alternatively, a call to create a map needs to run prior to placing location pins on the map to work correctly. This process can get increasingly difficult when working with multiple-threaded applications.

Solution: This relates to the point above of having a release candidate to help in managing and seeing what the sequencing of the API calls are. We recommend making a flowchart to visualize the API calls. This will help developers build API calls and integrate them faster without causing issues.

Validating Parameters

Testing teams may find validating the parameters sent through API requests challenging as well. The sheer number of parameters and use cases for those parameters can make it a daunting task. The team needs to make sure all parameter data uses the correct string or numerical data type, fits within length restrictions, fits within a designated value range and passes other validation criteria. For example, U.S. phone numbers should appear in a 10-digit format, and returning a 5-digit zip code should trigger an invalidation error.

Solution: This can be avoided by having continuous synthetic API monitoring to catch the problem early on. Moreover, it should be combined with an APM solution to get an overall 360-degree view. Validating parameters is one of the most important things. It should show you how fast you’re serving those parameters. If making those calls has significant impacts on your system, implementing synthetic and APM solutions will ensure you catch the problem early on.

Tracking System Integration

The final challenge is making sure the API testing system is working correctly with the data tracking system. This is necessary to bring back correct responses on whether a call is working correctly. It’s also used to passively monitor API performance. Since this step can come late in the process, the team may be too fatigued to give it the attention it needs.

Solution: Think about your application in the design phase and how it will integrate with other systems. Different applications have different requirements that need to be met. Make sure you aren’t causing applications to fail by testing in parallel with critical integration systems. This can be accomplished by implementing and including load testing in your continuous delivery.

API testing is an essential part of application development in the modern business environment.

About the Author / Sven Hammar

Sven Hammar is co-founder and Chief Strategy Officer of Apica, a provider of technology for testing, monitoring, and optimizing the performance of cloud and mobile applications. Mr. Hammar has more than a decade of experience and expertise in web performance and web optimization, e-commerce, cloud services, IT entrepreneurship and the Internet. He is also a serial entrepreneur who has founded several successful IT companies over the years. Connect with him on LinkedIn.

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